GitHub / Apoorva99 / Text-classification-using-LDA-and-GCN

Constructed a structured heterogeneous text corpus graph to transform text classification problem into a node classification problem. Created semantic rich features by using Text GCN and topic modeling based approach-LDA which are then fed into a novel classification model.

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Topics: feature-matrix, gcn, gcn-features, graph-convolutional-networks, lda-features

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